research-data-science-training/python-workshops/python-data-analysis/index.qmd at main · PovertyAction/research-data-science-training · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
---
title: "Python Data Analysis"
abstract: |
  Learn Python programming through practical data analysis using real-world datasets. Master fundamental Python concepts while working with pandas, matplotlib, and data visualization.
date: last-modified

format:
  html: default

# Authors
authors-ipa:
  - "[Author Name](https://poverty-action.org/people/author_name)"

# Contributors
contributors:
  - "[Contributor Name](https://poverty-action.org/people/contributor_name)"

keywords: ["Python", "Programming", "Tutorial", "Data Science", "Jupyter"]
license: "CC BY 4.0"
---

This lesson is an introduction to programming in Python 3 for people with little \
or no previous programming experience.

::::::::::::::::::::::::::::::::::::::::::  prereq

## Prerequisites

1. Learners need to understand what files and directories are,
  what a working directory is,
  and how to start a Python interpreter.

2. Learners must install Python 3 and required packages before the class starts.
   We use **uv**, a modern Python package manager that makes setup simple.

3. Learners must get the gapminder data before class starts:
  please download and unzip the file
  [python-data-analysis-data.zip](episodes/files/python-data-analysis-data.zip).

Please see [the setup instructions](learners/setup.md)
for detailed installation steps using uv.